Statistics for the Life Sciences; I Pramling Samuelsson; 2003
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Statistics for the Life Sciences Upplaga 3

av I Pramling Samuelsson
For graduate or undergraduate courses in biology, agronomy, medical and health sciences, nutrition, pharmacy, animal science, physical education, forestry, and other life sciences.

With a strong emphasis on real data, exploratory data analysis, interpretation of results, and checking assumptions, this text clearly conveys the key concepts of statistics as applied to life sciences while incorporating tools and themes of modern data analysis. The authors' goal is to help students understand concepts not memorize formulas; they make liberal use of exercises, worked examples, and graphical methods to do so.
For graduate or undergraduate courses in biology, agronomy, medical and health sciences, nutrition, pharmacy, animal science, physical education, forestry, and other life sciences.

With a strong emphasis on real data, exploratory data analysis, interpretation of results, and checking assumptions, this text clearly conveys the key concepts of statistics as applied to life sciences while incorporating tools and themes of modern data analysis. The authors' goal is to help students understand concepts not memorize formulas; they make liberal use of exercises, worked examples, and graphical methods to do so.
Upplaga: 3e upplagan
Utgiven: 2003
ISBN: 9780131228115
Förlag: Pearson Education
Format: Bok
Språk: Engelska
Sidor: 724 st
For graduate or undergraduate courses in biology, agronomy, medical and health sciences, nutrition, pharmacy, animal science, physical education, forestry, and other life sciences.

With a strong emphasis on real data, exploratory data analysis, interpretation of results, and checking assumptions, this text clearly conveys the key concepts of statistics as applied to life sciences while incorporating tools and themes of modern data analysis. The authors' goal is to help students understand concepts not memorize formulas; they make liberal use of exercises, worked examples, and graphical methods to do so.
For graduate or undergraduate courses in biology, agronomy, medical and health sciences, nutrition, pharmacy, animal science, physical education, forestry, and other life sciences.

With a strong emphasis on real data, exploratory data analysis, interpretation of results, and checking assumptions, this text clearly conveys the key concepts of statistics as applied to life sciences while incorporating tools and themes of modern data analysis. The authors' goal is to help students understand concepts not memorize formulas; they make liberal use of exercises, worked examples, and graphical methods to do so.
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